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Designing
Behavior Change
with IoT.

I create technologies that seamlessly
connect the digital and physical worlds, drawing on
Human-Computer Interaction (HCI) and Human-Food Interaction (HFI).

Using IoT-driven olfactory devices, soft-robotic interfaces, multimodal conversational agents, and large-scale behavioral data, my work explores how subtle sensory and social cues can shape human behavior. My goal is to design calm, intuitive systems that enrich everyday life—guiding people toward healthier habits, meaningful eating experiences, and smarter decision-making without disrupting their natural rhythms.

About Me
Profile Picture

Daiki Mayumi

I received Doctor of Engineering from the Nara Institute of Science and Technology (NAIST) and a Doctor of Natural Science (Dr. rer. nat.) from Ulm University (Germany) through a double degree program in 2026. I am currently a research scientist at NTT, Inc., Human Informatics Laboratories, where I work on human-computer interaction (HCI). My research focuses on behavior change through information technology.

Education

2023.04 - 2026.03

Doctor of Engineering

Ph.D Course of Information Science, Nara Institute of Science and Technology (Japan)

2021.04 - 2023.03

Master of Engineering

Master's Course of Information Science, Nara Institute of Science and Technology (Japan)

Work Experience

2026.04 - Present

NTT, Inc., Human Informatics Laboratories, Researcher

2023.04 - 2026.03

SPRING : Support for Pioneering Research Initiated by the Next Generation

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Publications
  • BubblEat: Designing a Bubble-Based Olfactory Delivery for Retronasal Smell in Every Spoonful Daiki Mayumi, Yugo Nakamura, Yuki Matsuda, Keiichi Yasumoto. In Proceedings of the 2025 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA ’25), pp.1-8, Yokohama, Japan, Apr. 26-May. 1, 2025.[DOI]
  • Aromug: a Mug-type Olfactory Interface to Enhance the Sweetness Perception of Beverages Daiki Mayumi, Yugo Nakamura, Yuki Matsuda, Shinya Misaki, Keiichi Yasumoto. IEEE Access, Vol.12, pp. 78366-78378, 2024.[DOI]
  • Kaolid: a Lid-type Olfactory Interface to Present Retronasal Smell towards Beverage Flavor Augmentation Daiki Mayumi, Yugo Nakamura, Yuki Matsuda, Shinya Misaki, Keiichi Yasumoto. The 13th International Conference on the Internet of Things (IoT'23), pp.1-8, Nagoya, Japan, Nov. 7-10, 2023.[DOI]Best Paper Candidate Award
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Contact

mayumi.daiki.mb9@is.naist.jp